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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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energy systems, including retrofitting strategies in brownfield settings, is considered highly relevant, as is previous work with market-driven operation and optimization of integrated electricity–cooling
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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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processes and develop innovative tools in cell biology. Key Responsibilities: Conduct experimental research using quantitative biochemistry, biophysics, and cell biology. Develop and optimize advanced
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mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, and/or adaptive control) with a strong desire to make an impact on energy/power grids are preferred
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industry impact in future energy systems. Key Responsibilities: Support development of asset health assessment and degradation modelling methodologies. Assist in resilience-oriented optimization modelling
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techniques (spectroscopy, electrochemistry). - Optimization of electrolysis cells: Designing electrolysers incorporating the developed catalysts, coupled with renewable energy sources (e.g., photovoltaics
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attitude, ability to work independently as well as in a team. Familiarity with green building technology, HVAC system study and optimization, sustainable building design, building energy modelling, CFD
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological